Sample Efficient Multiagent Learning in the Presence of Markovian Agents

• Main Author: Chakraborty, Doran (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: Studies in Computational Intelligence, 523
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

The problem of Multiagent Learning (or MAL) is concerned with the study of how intelligent entities can learn and adapt in the presence of other such entities that are simultaneously adapting. The problem is often studied in the stylized settings provided by repeated matrix games (a.k.a. normal form...

Table of Contents:

• Introduction
• Background
• Learn or Exploit in Adversary Induced Markov Decision Processes
• Convergence, Targeted Optimality and Safety in Multiagent Learning
• Maximizing
• Targeted Modeling of Markovian agents
• Structure Learning in Factored MDPs
• Related Work
• Conclusion and Future Work.